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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 6321
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    Explanations

    names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rium
    -0.71
    LEASE
    -0.67
    į
    -0.66
    ÑĮ
    -0.63
    !/
    -0.61
    Ñı
    -0.61
     Revival
    -0.61
     Corpus
    -0.59
    %%%%
    -0.59
    cks
    -0.59
    POSITIVE LOGITS
     testified
    0.95
     himself
    0.91
     admitted
    0.85
     wrote
    0.83
    enegger
    0.83
     oversaw
    0.82
     swore
    0.80
    's
    0.80
     told
    0.77
     texted
    0.76
    Activations Density 0.142%

    No Known Activations